自适应信号处理是统计信号处理的一个重要组成部分。
The subject of adaptive signal processing constitutes an important part of statistical signal processing.
这些方法包括：统计信号处理，频域信号处理和时频域信号处理方法。
These methods are classified into three categories:statistical signal processing, frequency domain analysis and time-frequency analysis.
这里，主要对二次处理的方法作了详细的介绍，包括时域信号的统计特征，频域分析的傅立叶变换和短时傅立叶变换。
Here, secondary treatment methods are introduced in detail, include time domain signal statistics character, frequency analysis fast Fourier transform (FFT), and short time Fourier transform (STFT).
信号处理模块分析噪声并记录频谱特性和时域统计特性。
The radiated noise can be analyzed and its spectrum can be recorded by signal processing cell.
中值滤波是基于排序统计理论的一种能有效抑制噪声的非线性信号处理技术。
The median filtering is a nonlinear signal processing technology based on the order statistical theory, it can effectively suppress the noise.
与基于分数低阶统计量的空域处理方法相比，该文提出的算法利用了信号在模糊域中的信息，提高了算法的估计精度。
Comparison with the spatial processing method using fractional lower order statistics, the proposed algorithm provides more precise DOA estimates by using the ambiguity domain information of signals.
研究了信号及杂波、噪声在信号处理之后的统计特性，并通过仿真系统产生了目标回波数据及检测背景噪声。
This paper also studies the statistics characteristic of signal, clutter and noise after the system disposal, and generates target data and detecting background noise using the simulated system.
本文提出一种统计训练固定矩阵自适应KLT指纹图像压缩编码方法，并在TMS320C 25信号处理器上实时实现。
This paper presents a statistically learning fixed matrix adaptive KLT figure print image compression coding method. It is implemented using TMS320C25 as well.
高阶统计量在信号处理中成功的应用例子之一是估计高斯相关噪声中非高斯信号的时延参数。
One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
讨论了复杂信号系统中处理噪声信号的方法，提出了一种基于自适应非线性变换器的抑噪系统的设计方法，该系统考虑了干扰作用的统计特性。
Simulation results show effected by complex-labile interfere the noise suppression system with the adaptive nonlinear changer may guaranteed noise suppression performance of complex signal system.
以信号处理理论和放射性统计学为基础，研究了判断限的选择方法。
Based on the Signal Detection Theory (SDT) and the statistics principle, the choice method of judgement baseline was studied.
本文提出一种新的多项式信号加自回归AR噪声的组合模型统计处理方法。
A new AR mixed model statistics method dealing with electric measure data of aircraft is presented.
有序统计恒虚警率处理(OS- CFAR)是现代雷达信号处理的一种重要方法。
The Order Statistics Constant Alarm False Rate (OS CFAR) processing is an important method in modern radar signal processing.
在测试的过程中，主成分分析作为数据预处理，提取特征指数从振动信号的统计特征作为输入SVDD分类。
In the process of test, principal component analysis is used as data preprocessing to extract the feature index from vibration signal statistic features as the input of SVDD classifier.
系统综合应用了先进MCGS工控组态软件、GPRS模块、信号检测与处理等技术对油井现场进行了有效地监控，能对各种数据进行方便地统计和查询。
The system comprehensively applied advanced MCGS configuration software, GPRS module, signal detection and processing technology, can effectively monitor, do statistics and enquire all kinds of data.
在信号处理时把该信号看作随机的动态信号，采用概率密度和统计学的方法进行分析，从而预测出稠油油井出砂趋势。
The vibration signal is processed as stochastic dynamic signal and analyzed by the method of probability density and statistics, thus the trend of sand production of heavy oil-well.
方法正常组与病变组对比观察二维声像图表现、血流信号的多少、血流速度、RI、S/D比值，并进行统计学处理。
Methods Manifestation on two-dimensional images, blood flow velocities, RI and S/D ratio were observed respectively between the normal men and the patients, and statistical treatment was done.
统计与自适应信号处理Dimitris G。
图象其实就是信号处理，除了本科是学信号的以外，信号与系统、数字信号处理是一定要学好的，那相应的数学方面的概率，多元统计，甚至泛函也要了解。
The most important thing here is to understand image processing, it requires a broad level of knowledge including, some math (algrebra, statistics, PDE), dsp, pattern recognition, programming skills…
图象其实就是信号处理，除了本科是学信号的以外，信号与系统、数字信号处理是一定要学好的，那相应的数学方面的概率，多元统计，甚至泛函也要了解。
The most important thing here is to understand image processing, it requires a broad level of knowledge including, some math (algrebra, statistics, PDE), dsp, pattern recognition, programming skills…
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